- Test and experimentation of innovative computing architectures suitable for embedded and autonomous operation. Of particular interest, computing approaches supporting Artificial Intelligence techniques.
- Automated and semi-automated tools, possibly based on Artificial Intelligence techniques, to simplify the development of systems and applications at the edge of the network, and guarantee their quality while reducing the skill level required to the developer
- Techniques and tools to guarantee secure (including privacy aspects), safe and time-critical behaviour in complex and heterogeneous computing architectures for edge computing, while guaranteeing interoperability with the environment
- Innovative integration of hardware and software components for efficient operation in embedded edge applications with very limited energy budget
Illustration Photo: Raspberry Pi cluster (credits: Phil Moyer / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))